Integration of thermographic inspection data with BIM for enhanced concrete infrastructure assessment

IF 11.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Automation in Construction Pub Date : 2025-03-01 Epub Date: 2025-01-18 DOI:10.1016/j.autcon.2025.105965
Sandra Pozzer , Gabriel Ramos , Parham Nooralishahi , Ehsan Rezazadeh Azar , Ahmed El Refai , Fernando López , Clemente Ibarra-Castanedo , Xavier Maldague
{"title":"Integration of thermographic inspection data with BIM for enhanced concrete infrastructure assessment","authors":"Sandra Pozzer ,&nbsp;Gabriel Ramos ,&nbsp;Parham Nooralishahi ,&nbsp;Ehsan Rezazadeh Azar ,&nbsp;Ahmed El Refai ,&nbsp;Fernando López ,&nbsp;Clemente Ibarra-Castanedo ,&nbsp;Xavier Maldague","doi":"10.1016/j.autcon.2025.105965","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents a framework that integrates passive infrared thermography (IRT) results with building information modeling (BIM) to improve subsurface delamination inspection in concrete infrastructures. The paper combines solar analysis with BIM for better thermography inspection planning and documents thermographic data on delamination within BIM environment using a semi-automatic AI procedure for delamination identification. The framework was tested on two case studies: one laboratory sample with inserted delaminations and one real-scale concrete structure. As a result, besides the increase in communication related to data visualization and centralization, the volume of the delivered data and the analysis time was reduced through the application of the proposed method. The findings promote better collaboration between the civil engineering and inspection industries, utilizing advanced nondestructive techniques for detecting concrete delamination. This approach improves planning, analysis, visualization, reporting, and data storage for passive IRT inspections, benefiting infrastructure stakeholders and streamlining maintenance management.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"171 ","pages":"Article 105965"},"PeriodicalIF":11.5000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation in Construction","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0926580525000056","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/18 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

This paper presents a framework that integrates passive infrared thermography (IRT) results with building information modeling (BIM) to improve subsurface delamination inspection in concrete infrastructures. The paper combines solar analysis with BIM for better thermography inspection planning and documents thermographic data on delamination within BIM environment using a semi-automatic AI procedure for delamination identification. The framework was tested on two case studies: one laboratory sample with inserted delaminations and one real-scale concrete structure. As a result, besides the increase in communication related to data visualization and centralization, the volume of the delivered data and the analysis time was reduced through the application of the proposed method. The findings promote better collaboration between the civil engineering and inspection industries, utilizing advanced nondestructive techniques for detecting concrete delamination. This approach improves planning, analysis, visualization, reporting, and data storage for passive IRT inspections, benefiting infrastructure stakeholders and streamlining maintenance management.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
将热成像检测数据与BIM集成,以增强混凝土基础设施评估
本文提出了一个将被动红外热像仪(IRT)结果与建筑信息模型(BIM)相结合的框架,以改善混凝土基础设施的地下分层检测。本文将太阳能分析与BIM相结合,以更好地进行热成像检查规划,并使用半自动人工智能程序记录BIM环境中分层的热成像数据,以进行分层识别。该框架在两个案例研究中进行了测试:一个是带有插入分层的实验室样本,另一个是实际规模的混凝土结构。结果,除了增加与数据可视化和集中化相关的通信外,通过应用所提出的方法减少了交付的数据量和分析时间。这些发现促进了土木工程和检测行业之间更好的合作,利用先进的无损技术来检测混凝土分层。这种方法改进了被动IRT检查的计划、分析、可视化、报告和数据存储,使基础设施利益相关者受益,并简化了维护管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Automation in Construction
Automation in Construction 工程技术-工程:土木
CiteScore
19.20
自引率
16.50%
发文量
563
审稿时长
8.5 months
期刊介绍: Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.
期刊最新文献
From instance segmentation to physical quantification: High-resolution UAV-based dataset for façade defect assessment Toward autonomous timber construction using distributed robotic perception system in coordination with a tower crane Automated robotic system for FRP application in steel structures Physics-data co-driven hybrid neural network for predicting expansion joint deformation of ballastless track under meteorological variations Cross-platform framework for semantic BIM-to-XR data exchange in immersive construction informatics
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1